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What are quantum computers, and how can we train them in Python?
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Recursive custom gradients in TensorFlow
31 Dec 2020 |
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Most autodifferentiation libraries, such as PyTorch, TensorFlow, Autograd — and even PennyLane in the quantum case — allow you to create new functions and register custom gradients that the autodiff framework makes use of during backpropagation. This is useful in several cases; perhaps you have a composite function with a gradient that …